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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 22908
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    Explanations

    the prefix 're-' in words

    oai_token-act-pair · gpt-3.5-turbo

    instances of the prefix "re" in various words

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nest
    -0.72
     Pebble
    -0.71
    ONES
    -0.69
     Berm
    -0.67
     nib
    -0.64
     Beir
    -0.63
     Eck
    -0.63
     gag
    -0.62
     handwriting
    -0.62
     simulator
    -0.62
    POSITIVE LOGITS
    asons
    1.29
    porter
    1.25
    ceiver
    1.18
    cover
    1.16
    versible
    1.15
    venge
    1.14
    ached
    1.14
    actor
    1.13
    gex
    1.12
    becca
    1.12
    Activations Density 0.040%

    No Known Activations